A load-balancing approach based on modified K-ELM and NSGA-II in a heterogeneous cloud environment

Abstract

Background: Cognitive Muscular TherapyTM (CMT) is an integrated behavioural intervention developed for knee osteoarthritis. CMT teaches patients to reconceptualise the condition, integrates muscle biofeedback and aims to reduce muscle overactivity, both in response to pain and during daily activities. This nested qualitative study explored patient and physiotherapist perspectives and experiences of CMT.Methods: Five physiotherapists were trained to follow a well-defined protocol and then delivered CMT to at least two patients with knee osteoarthritis. Each patient received seven individual clinical sessions and was provided with access to online learning materials incorporating animated videos. Semi-structured interviews took place after delivery/completion of the intervention and data were analysed at the patient and physiotherapist level.Results: Five physiotherapists and five patients were interviewed. All described a process of changing beliefs throughout their engagement with CMT. A framework with three phases was developed to organise the data according to how osteoarthritis was conceptualised and how this changed throughout their interactions with CMT. Firstly, was an identification of pain beliefs to be challenged and recognition of how current beliefs can misalign with daily experiences. Secondly was a process of challenging and changing beliefs, validated through new experiences. Finally, there was an embedding of changed beliefs into self-management to continue with activities. Conclusion:This study identified a range of psychological changes which occur during exposure to CMT. These changes enabled patients to reconceptualise their condition, develop a new understanding of their body, understand psychological processes, and make sense of their knee pain.

An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm

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An Optimized Model for Energy Efficiency on Cloud System using PSO & CUCKOO Search Algorithm

“…Genaud et al [12] Uses the MPI scatterv primeval for supporting master slave load balancing by taking into attention the optimization of calculation and data circulation via a linear programming algorithm. Though, this key is inadequate to static load balancing.…”

“…The egg laid is dumped in any random nest.  For the next generation, the nest, this is having high quality of eggs will be taken further for execution [12].  The host nests which are accessible are fixed.…”

An adaptive approach to better load balancing in a consumer-centric cloud environment

“…Our previous work [19] has been issued in ICCE, however, in this paper, a novel speculative execution strategy, called dynamic strategy, is newly presented.…”

“…Therefore, optimization schemes have been proposed [10][11][12][13][14][15][16][17][18][19], but most of them are only focused on task execution time, whereas storage space is often neglected.…”